vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Bug]: Kimi-K2.5 compressed-tensors MoE Marlin repack fails with PTX toolchain error on H200 (CUDA 12.8, driver 570.133.20)
- [Bug]: Qwen3.5 (Qwen3_5ForConditionalGeneration) FLA linear attention tensor format mismatch causes gibberish output
- [MoE Refactor] Layer runner refactor
- Bug: ValueError: too many values to unpack in dispatch_cpu_unquantized_gemm when loading Qwen3.5-4B
- [Bug]: KV block corruption under rapid LoRA adapter alternation
- [UX] Log worker exit code when process dies unexpectedly
- [Usage]: 模型返回值reasoning_content
- [Bug]: reasoning_effort passed to MistralCommonTokenizer.apply_chat_template breaks Mistral Small 4 chat completions on vLLM 0.18.0
- [Core] Batch invariant chunked prefill for mamba/hybrid models
- Cp+nixl
- Docs
- Python not yet supported